메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
김덕영 (고려대학교)
저널정보
한국폐기물자원순환학회 한국폐기물자원순환학회지 한국폐기물자원순환학회지 제32권 제4호
발행연도
2015.1
수록면
400 - 407 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

이 논문의 연구 히스토리 (2)

초록· 키워드

오류제보하기
The process that a new energy policy introduces and merges into the formal social system is an important but difficult journey for the transition to the low carbon society. Meanwhile, the government was obliged to allocate carbon emission reduction, the companies are called obligatory participants through emissions trading scheme were building an internal greenhouse gas reduction system to reduce Risk and to respond this new system. However, the internal response and reduction system of the Waste Field are easy to exposure to the ETS Risk because the local government employee is unaware of the ETS. Thus, it is necessary to establish a framework for rational decision making institutions through analyzing the existing system of greenhouse gas energy target management system. This study was predicted for the first phase emissions trading allowances based on excess or deficiency received through the 2015 quota allocation applications and explained the process proceeded in greenhouse gas energy target management system by the Jeju Special Self-case analysis of the waste sector, predicted potentially losses cost during the first phase in the emissions trading credits that are traded on the KRX market price. Furthermore, throughout the sensitivity analysis of major waste process parameter suggested the internal system to reduce greenhouse gas emissions directly as well as external policies by the direct participation of citizens through the local recycling center expansion. After all, this study suggested the need for the construction of internal and external system corresponding to these systemic risk.

목차

등록된 정보가 없습니다.

참고문헌 (9)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0